Triple

T2440181
Position Surface form Disambiguated ID Type / Status
Subject Link light rail E53254 entity
Predicate hasLine P35 FINISHED
Object 1 Line
The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
E266735 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1 Line | Statement: [Link light rail, hasLine, 1 Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1 Line
Context triple: [Link light rail, hasLine, 1 Line]
  • A. Line 1
    Line 1 is the oldest and one of the busiest lines of the Mexico City Metro, running east–west across the city and serving many central, high-traffic stations.
  • B. Line 1
    Line 1 is a major north–south rapid transit line of the Shanghai Metro and one of the system’s oldest and busiest routes.
  • C. Line 1
    Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
  • D. Line 1
    Line 1 is one of the main east–west rapid transit lines of the Beijing Subway, serving as a core corridor through central Beijing.
  • E. Line 1
    Line 1 is the main north–south route of the Tehran Metro system, serving as one of its busiest and most important rapid transit lines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 1 Line
Triple: [Link light rail, hasLine, 1 Line]
Generated description
The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 1 Line
Target entity description: The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • A. Line 1
    Line 1 is a major rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's primary east–west corridors.
  • B. Line 1
    Line 1 is one of the main lines of the Barcelona Metro rapid transit system, running on a largely east–west axis and serving several key districts of the city.
  • C. Line 1
    Line 1 is one of the main east–west rapid transit lines of the Beijing Subway, serving as a core corridor through central Beijing.
  • D. Line 1
    Line 1 is the oldest and one of the busiest lines of the Mexico City Metro, running east–west across the city and serving many central, high-traffic stations.
  • E. Line 1
    Line 1 is the main north–south route of the Tehran Metro system, serving as one of its busiest and most important rapid transit lines.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f7ba208190810f8ea115110375 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b3f7188190911f2db0ef2200cc completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef3752d6c8190b32d99418c0bfdc8 completed March 9, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69aef433a83c8190b20a3a278204badd completed March 9, 2026, 4:24 p.m.
Created at: March 6, 2026, 9:43 p.m.